Viewing profile — Hoshang07

The 5 layers of safely connecting agents to your databases: Most AI agents need access to structured data (CRMs, databases, warehouses), but giving them database access is a securi…

Hey HN! We're Hoshang & Vishal, the team behind Pylar - a governed access layer between databases and LLMs. We previously led data and AI and we kept seeing the same problem across…

We’re putting together a small Slack group for ops, data and devs who are hands-on building internal AI agents — people experimenting with things like n8n, LangGraph, Zapier, Make,…

@auslegung - Do you let agents touch internal structured data stored in a warehouse (for example)? If so, how do you do that today? Would love to have your thoughts on this - https…

[dead]

yes.. that makes a lot of sense to me. I'm almost imagining building an evals layer to show which views were useful (or not) for the agent to do it's thing.. so i'd know whether to…

that's a good baseline..db rbac locks scope, but i guess not behavior. inside that schema the agent can still fire off wide scans, weird joins, or grab way more rows than needed.. …

right now i wouldn’t trust an ai agent anywhere near my warehouse with raw sql. too risky. what i really want is simple: let the agent only “search” a safe view that i define.. say…

hey hn — we’re hoshang & vishal, co-founders of airbook. it’s an ai-native workspace to build notebooks, dashboards, or even lightweight data apps — all from one place ( https://ww…

Hi HN - We’re Hoshang & Vishal from Airbook ( https://www.airbook.io ) - An AI native workspace to do all your analytics work in one place. Airbook automatically syncs, cleans and …

fixed a few things, here's a new link - https://claude.ai/public/artifacts/037456ea-caa4-420f-90c0-d... (the old link still works too)